Figure 6

Prevalence of CMR-based diastolic dysfunction based on clinical status. A predictive model was constructed with multivariate logistic regression, using PSR_E, PSR_E/PSR_A, DT_SV, and DSVRT₅₀ as covariates to diagnose CMR-based diastolic dysfunction in patients with (1) and without (0) left ventricular hypertrophy (LVH), hypertension (HTN) and coronary artery disease (CAD). A higher prevalence of CMR-based diastolic dysfunction was observed in these clinical subgroups.